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CVE-2024-27029 (GCVE-0-2024-27029)

Vulnerability from cvelistv5 – Published: 2024-05-01 12:53 – Updated: 2026-08-05 11:29
VLAI
Title
drm/amdgpu: fix mmhub client id out-of-bounds access
Summary
In the Linux kernel, the following vulnerability has been resolved: drm/amdgpu: fix mmhub client id out-of-bounds access Properly handle cid 0x140.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-10 15:44 UTC
Impacted products
Vendor Product Version CPE status
Linux Linux Affected: aba2be41470a11629c8378c3651323d7e5416df6 , < e1e076bda4fd6378ae650f2c6ef1a4ff93c5aea5 (git)
Affected: aba2be41470a11629c8378c3651323d7e5416df6 , < 1f24b3040f2b6ffcb97151fabb3070328254d923 (git)
Affected: aba2be41470a11629c8378c3651323d7e5416df6 , < 6540ff6482c1a5a6890ae44b23d0852ba1986d9e (git)
guessed Create a notification for this product.
Linux Linux Affected: 6.7
Unaffected: 0 , < 6.7 (semver)
Unaffected: 6.7.11 , ≤ 6.7.* (semver)
Unaffected: 6.8.2 , ≤ 6.8.* (semver)
Unaffected: 6.9 , ≤ * (original_commit_for_fix)
guessed Create a notification for this product.
Show details on NVD website

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      "current_release_date": "2026-09-02T01:32:49Z",
      "cve": "CVE-2024-27029",
      "id": "CVE-2024-27029",
      "initial_release_date": "2024-05-03T02:09:37Z",
      "product_status:known_affected": "394",
      "product_status:known_not_affected": "338",
      "product_status:recommended": "317",
      "source": "SUSE CSAF VEX",
      "status": "interim",
      "title": "SUSE CVE CVE-2024-27029",
      "url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2024-27029.json",
      "version": "78"
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            ],
            "title": "CVE Program Container"
          },
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            "metrics": [
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                  "content": {
                    "id": "CVE-2024-27029",
                    "options": [
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                      },
                      {
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                      },
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                    "role": "CISA Coordinator",
                    "timestamp": "2024-09-10T15:44:24.346922Z",
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              "dateUpdated": "2024-09-11T12:42:17.358Z",
              "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
              "shortName": "CISA-ADP"
            },
            "title": "CISA ADP Vulnrichment"
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                  "versionType": "git"
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              "repo": "https://git.kernel.org/pub/scm/linux/kernel/git/stable/linux.git",
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              "versions": [
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                  "status": "unaffected",
                  "version": "0",
                  "versionType": "semver"
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                  "value": "AV:L - The fault is provoked by submitting GPU work through the local DRM render node (/dev/dri/renderD*), whose VM protection fault interrupt drives `gmc_v11_0_process_interrupt` into the vulnerable print routine. There is no network-facing path into amdgpu MMHUB fault handling.\nAC:L - Causing an MMHUB VM protection fault is fully attacker-controlled \u2014 submit multimedia/user-mode-queue work referencing unmapped GPU virtual addresses \u2014 and the resulting client ID (e.g. UMSCH 0x140, which the pre-fix code itself acknowledged occurs) exceeds the 31-entry table, so the out-of-bounds read happens deterministically and can be repeated at will.\nPR:L - Only unprivileged access to the DRM render node is needed; no capability check guards command submission or the fault interrupt path, and render nodes are open to the logged-in user, the render/video group, and GPU-enabled containers.\nUI:N - The attacker triggers the faulting GPU submission entirely from their own process; no victim action or interaction with any other user is required.\nS:U - The out-of-bounds read and its consequences stay within the kernel\u0027s own security authority on the affected host, with no crossing of a VM, IOMMU, or sandbox boundary.\nC:H - The read runs off the end of a 496-byte table by up to ~8 KB, and the out-of-bounds word is then dereferenced as a string by `dev_err(\"%s\")`, dumping the contents of an unbounded and unvalidated kernel address into the kernel log \u2014 an arbitrary kernel-memory disclosure, not a small bounded read.\nI:N - The defect is purely a read of out-of-bounds memory used for log formatting; no kernel data structure is written and the bug provides no write primitive.\nA:H - The out-of-bounds pointer passed to printk is dereferenced without probing, so a non-canonical or unmapped value oopses inside the GPU interrupt handling path, killing the display/graphics driver and panicking the system under panic_on_oops."
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            {
              "url": "https://git.kernel.org/stable/c/6540ff6482c1a5a6890ae44b23d0852ba1986d9e"
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        "assignerShortName": "Linux",
        "cveId": "CVE-2024-27029",
        "datePublished": "2024-05-01T12:53:22.513Z",
        "dateReserved": "2024-02-19T14:20:24.211Z",
        "dateUpdated": "2026-08-05T11:29:06.693Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
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  }
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Detection rules are retrieved from Rulezet.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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